Efficient Cloud-Assisted Protocol for Private Set Intersection Computation

Abstract

As cloud computing capabilities have advanced, coupled with the rise of cloud-assisted computing, innovative solutions for private set intersection computation have emerged. Traditionally, protocols designed for private data security entail extensive computational demands. This can be a burden for those involved in the privacy set seeking intersection. In many real-world scenarios, some participants might not possess the necessary computational power mandated by these protocols, leading to potential data vulnerabilities. However, the advent of cloud-assisted computing has introduced a transformative approach. Participants, rather than being limited by their local computational constraints, can now offload tasks to a cloud server. The server, equipped with vastly superior computing resources, undertakes the computation and subsequently returns the results. This not only alleviates the pressure on individual participants but also makes the process more adaptable to varied scenarios. In the discussed paper, a protocol is presented that adeptly harnesses cloud assistance to facilitate efficient private set intersection. This protocol not only ensures that data remains secure but also broadens the range of potential applications by accommodating different computational capacities. The marriage of cloud resources and private set computation offers a promising direction for the future of data security in a cloud-dominated era.